Separate workflows. One shared Talent context.
Each workflow owns its own stage. Every one of them reads the same Talent record, and extracted values link back to where they came from.
Four layers, one platform.
Products sit on a shared Talent context. Governance applies to all of it. AI runs on your organization’s own provider account.
What that means on the desk.
Each workflow owns its stage
Requisitions, pipeline, submittals, interviews, offers and Offer & Start each keep their own lifecycle.
Records link to sources
Values extracted from a résumé stay linked to the edition they came from. When sources disagree, both are kept and flagged for a person.
History is added, not overwritten
Consent, identity and signing-event records can’t be edited once written. Corrections are added as new entries.
AI drafts. A person decides.
AI proposes requisition fields, first-contact message drafts and Talent profiles. A recruiter reviews and saves. AI never orders, filters or decides about people.
Walk the model with us.
We will show the shared Talent context on a requisition flow, with synthetic data.